Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.

Плагин для SmartApp Framework, осуществляющий векторизацию (получение embedding'ов) текстов с помощью различных моделей

It uses Text Extraction Feature like TF-IDF Vectorizer and simple python code, to classify the messages as spam or ham (normal).

End-to-end ML workflow for multi-label toxic comment detection using NLP. Implements advanced text preprocessing, multi-label vectorization, and models (Logistic Regression, RNNs, Transformers). Includes scripts for data cleaning, training, and per-label metrics.

For You Algorithm System

Email and SMS classfication using ML

Introductory parts for NLP tasks